Update README.md

README.md

@@ -10,7 +10,7 @@ library_name: transformers
 pipeline_tag: token-classification
 ---
 
-# Model Card for Model ID
+# Model Card for GalBERT for Semantic Role Labeling (cased)
 
 This model is fine-tuned on [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased) and is one of 24 models introduced as part of [this project](https://github.com/mbruton0426/GalicianSRL). Prior to this work, there were no published Galician datasets or models for SRL. 
 
@@ -18,7 +18,7 @@ This model is fine-tuned on [multilingual BERT](https://huggingface.co/bert-base
 
 ### Model Description
 
-Galician mBERT for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for low-resource Galician. This model is cased: it makes a difference between english and English. It was fine-tuned with the following objectives: 
+GalBERT for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for low-resource Galician. This model is cased: it makes a difference between english and English. It was fine-tuned with the following objectives: 
 
 - Identify up to 13 verbal roots within a sentence.
 - Identify available arguments for each verbal root. Due to scarcity of data, this model focused solely on the identification of arguments 0, 1, and 2.